The project deals with the dataset having both fraudulent and non-fraudulent transactions. Different models are trained to find the model with best performance
- Logistic Regression
- Decision Tree
- Random Forest
- XGBoost
-
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A credit card fraud detection system built using machine learning to identify fraudulent transactions. It analyzes transaction patterns, flags anomalies like sudden spending spikes or unusual locations, and helps prevent financial loss by detecting suspicious activity in real-time.
itsnotcloud/Credit-Card-Fraud-Detection
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A credit card fraud detection system built using machine learning to identify fraudulent transactions. It analyzes transaction patterns, flags anomalies like sudden spending spikes or unusual locations, and helps prevent financial loss by detecting suspicious activity in real-time.
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